more docu
This commit is contained in:
@@ -98,7 +98,7 @@
|
|||||||
second, and so on, until @c H<sub>l+1</sub> contains the weights
|
second, and so on, until @c H<sub>l+1</sub> contains the weights
|
||||||
from layer @c l to the output @c O.
|
from layer @c l to the output @c O.
|
||||||
|
|
||||||
The output vector is then calculatd as:
|
The output vector is then calculated as:
|
||||||
O = I × H<sub>1</sub> × H<sub>2</sub> × H<sub>…</sub> × H<sub>l+1</sub>
|
O = I × H<sub>1</sub> × H<sub>2</sub> × H<sub>…</sub> × H<sub>l+1</sub>
|
||||||
|
|
||||||
@code
|
@code
|
||||||
@@ -106,10 +106,10 @@
|
|||||||
const size_type o(2);
|
const size_type o(2);
|
||||||
NeuroNet<double, i, o> net;
|
NeuroNet<double, i, o> net;
|
||||||
Matrix<1, i> input(1.0, 2.0, 0.0, -1.0);
|
Matrix<1, i> input(1.0, 2.0, 0.0, -1.0);
|
||||||
Matrix<1, o> output = net.propagate(input);
|
Matrix<1, o> output = net(input);
|
||||||
@endcode
|
@endcode
|
||||||
|
|
||||||
@section beuro-backward Back Propagation
|
@section neuro-backward Back Propagation
|
||||||
|
|
||||||
|
|
||||||
*/
|
*/
|
||||||
|
Reference in New Issue
Block a user